Due to its small dimension and low-intensity variation to the background, crack is considered the most challenging distress on the pavement surface. Despite multiple methods deployed to detect and classify cracks, Sma...
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ISBN:
(纸本)9783031671913;9783031671920
Due to its small dimension and low-intensity variation to the background, crack is considered the most challenging distress on the pavement surface. Despite multiple methods deployed to detect and classify cracks, Smart City still intends for an intelligent and cost-effective solutions. This paper proposes a novel approach based on an intelligent Map Fusion of extracted features from 2D images and 3D models. The proposed method transforms pavement images taken by a commercial camera into a 3D model using the Structure from Motion as a computer vision technique. Then, the grayscale level and roughness are computed for each 3D point and filtered to produce the crack 3D Point candidates at the decision-making level. Finally, the graham scan algorithm was used to define the contour of the crack. The presented method has been assessed and validated for a case study. The findings indicate that the model can detect and accurately contour the crack.
This paper presents an approach by various algorithms stage by stage for Face Detection. It first detects the face portion, removing all other portion from an image. First it will remove the background and then the bo...
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This paper presents an approach by various algorithms stage by stage for Face Detection. It first detects the face portion, removing all other portion from an image. First it will remove the background and then the body or cloths portion of the image. To achieve this we propose an algorithm based on K-Mean clustering, Bresenham's algorithm, graham scan algorithm. With the help of image morphology, algorithm will detect the skin texture of the face. Image opening and closing will help to get the skin texture. Using a nose template algorithm will find the nose tip by template matching method. Feature vectors are calculated with respect to the nose tip as the origin of 8 octants. Image moment provides a measure for variation in the skin. This total process is done by the feature extraction algorithm.
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